Artificial intelligence and COVID-19 using chest CT scan and chest X-ray images: machine learning and deep learning approaches for diagnosis and treatment

R Fusco, R Grassi, V Granata, SV Setola… - Journal of Personalized …, 2021 - mdpi.com
Objective: To report an overview and update on Artificial Intelligence (AI) and COVID-19
using chest Computed Tomography (CT) scan and chest X-ray images (CXR). Machine …

A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron

A Khan, SH Khan, M Saif, A Batool… - … of Experimental & …, 2024 - Taylor & Francis
ABSTRACT The Coronavirus (COVID-19) outbreak in December 2019 has drastically
affected humans worldwide, creating a health crisis that has infected millions of lives and …

Clinical and chest computed tomography features of patients suffering from mild and severe COVID-19 at Fayoum University Hospital in Egypt

A Ismail, AS Doghish, WF Elkhatib, AM Magdy… - Plos one, 2022 - journals.plos.org
Background In pandemic COVID-19 (coronavirus disease 2019), the prognosis of patients
has been determined using clinical data and CT (computed tomography) scans, but it is still …

Weather variability and COVID-19 transmission: a review of recent research

H McClymont, W Hu - International journal of environmental research and …, 2021 - mdpi.com
Weather and climate play a significant role in infectious disease transmission, through
changes to transmission dynamics, host susceptibility and virus survival in the environment …

Ground-glass opacity (GGO): a review of the differential diagnosis in the era of COVID-19

D Cozzi, E Cavigli, C Moroni, O Smorchkova… - Japanese journal of …, 2021 - Springer
Thoracic imaging is fundamental in the diagnostic route of Coronavirus disease 2019
(COVID-19) especially in patients admitted to hospitals. In particular, chest computed …

Imaging of covid-19: Ct, mri, and pet

BKK Fields, NL Demirjian, H Dadgar… - Seminars in Nuclear …, 2021 - Elsevier
Soon after reports of a novel coronavirus capable of causing severe pneumonia surfaced in
late 2019, expeditious global spread of the Severe Acute Respiratory Distress Syndrome …

Variations in CT utilization, protocols, and radiation doses in COVID-19 pneumonia: results from 28 countries in the IAEA study

F Homayounieh, O Holmberg, RA Umairi, S Aly… - Radiology, 2021 - pubs.rsna.org
Background There is lack of guidance on specific CT protocols for imaging patients with
coronavirus disease 2019 (COVID-19) pneumonia. Purpose To assess international …

[HTML][HTML] Factores de riesgo asociados a mortalidad en pacientes adultos con neumonía por SARS-CoV-2 en un hospital público de Lima, Perú

MJM Rodríguez-Zúñiga, A Quintana-Aquehua… - Acta Médica …, 2020 - scielo.org.pe
Resumen RODRIGUEZ-ZUNIGA, Milton JM et al. Factores de riesgo asociados a mortalidad
en pacientes adultos con neumonía por SARS-CoV-2 en un hospital público de Lima, Perú …

On the role of artificial intelligence in medical imaging of COVID-19

J Born, D Beymer, D Rajan, A Coy, VV Mukherjee… - Patterns, 2021 - cell.com
Although a plethora of research articles on AI methods on COVID-19 medical imaging are
published, their clinical value remains unclear. We conducted the largest systematic review …

LwMLA-NET: A lightweight multi-level attention-based NETwork for segmentation of COVID-19 lungs abnormalities from CT images

K Roy, D Banik, D Bhattacharjee… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
COronaVIrus Disease 2019 (COVID-19) emerged as a global pandemic in the last two
years. Typical abnormal findings in chest computed tomography (CT) images of COVID-19 …